Worksite Optimization via Operator Condition Monitoring
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Solution Overview
Problem
Existing worksite optimization systems fail to account for operator conditions such as fatigue, health, and nutritional status, leading to inefficiencies and potential safety hazards due to their focus on mechanical operations and physical layouts.
Innovation Solution
A system and method that monitor operator conditions in real-time using sensors and data analytics to determine operation states based on nutritional, health, and sleep data, generating responses to optimize worksite operations and prevent inefficiencies and safety issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If worksite optimization systems focus only on mechanical operations and physical layouts, then machine coordination efficiency is improved, but operator condition-related inefficiencies and safety risks worsen
Solution Approach 1:
The patent combines machine operational data with operator condition data (nutritional, health, and sleep information) into a unified worksite optimization system. This merging allows the system to simultaneously consider both mechanical efficiency and operator wellbeing, resolving the contradiction by integrating previously separate monitoring domains into a comprehensive platform that addresses both productivity and reliability concerns.
2Reliability
If operator conditions are monitored in real-time using multiple data sources, then operator-related inefficiencies and safety risks are improved, but system complexity worsens
Solution Approach 1:
The system employs a multi-functional optimization platform that handles diverse data types (nutritional, health, sleep, and machine operational data) through a single integrated system. This universal approach reduces complexity by consolidating multiple specialized systems into one platform capable of processing and analyzing various data sources simultaneously, thereby improving reliability without proportionally increasing device complexity.
Solution Approach 2:
The patent introduces an intermediary optimization system that acts as a mediator between operator condition monitoring and machine operation coordination. This intermediary layer processes and integrates operator data with machine data, simplifying the overall system architecture by providing a centralized point of coordination rather than requiring direct complex interactions between multiple specialized components.
3Productivity
If comprehensive operator data (nutritional, health, sleep) is collected and analyzed, then worksite safety and efficiency are improved, but data processing requirements worsen
Solution Approach 1:
The system extracts and separates critical operator condition parameters (nutritional status, health metrics, sleep quality) from comprehensive raw data sources. By selectively extracting only the most relevant information needed for worksite optimization, the system reduces data processing requirements while maintaining improved productivity and safety outcomes, avoiding the need to process entire datasets.
Solution Approach 2:
The patent applies local quality by focusing data analysis on specific critical parameters rather than processing all available operator data uniformly. The system identifies and prioritizes key nutritional, health, and sleep metrics that have the greatest impact on worksite efficiency and safety, allocating processing resources to these high-value data points while reducing processing of less critical information.
Data Source
AI summary
Systems and methods for optimizing worksite operations based on operator conditions are disclosed. One method includes receiving first data including one or more of a worksite model and information relating to actual operation of a worksite, wherein the worksite model includes a simulated operation of a machine associated with the worksite. Second data may be received, the second data associated with an operator of a machine at the worksite and including one or more of nutritional data, health data, and sleep data. An operation state may be determined based at least on the first data and the second data. A response may be generated based at least on the determined operation state.